AI Data Engineer
Tasks
- Apply data quality checks
- Build data products
- Collaborate with data scientists and DevOps
- Design data pipelines
- Develop data models
- Implement ETL/ELT pipelines
- Implement data governance
- Implement observability logging alerting
- Ingest transform and curate data
- Integrate pipelines with ML workflows
- Maintain secure engineering practices
- Monitor pipeline performance
- Optimize cost and reliability
- Prepare curated datasets
- Set up CI/CD pipelines
- Troubleshoot production data issues
- Use version control and code review
- Write automated tests
Perks/Benefits
- Access to online courses
- Flexible working arrangements
- Hybrid working
- Training and development opportunities
Skills/Tech-stack
AI Tooling | Alerting | Automated testing | CI/CD | Cloud Computing | Cloud Storage | Data Governance | Data Modeling | Data Quality | Data Validation | Data Warehouse | Distributed Computing | ELT | ETL | Git | Lakehouse | Logging | Machine Learning | Observability | Python | SQL | Unit Testing | Workflow Orchestration
Education
N/A
Roles
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